The PebbleBox and the CrumbleBag are examples of a granular interaction paradigm, in which the manipulation of physical grains of arbitrary material becomes the basis for interacting with granular sound synthesis models. The sounds made by the grains as they are manipulated are analysed, and parameters such as grain rate, grain amplitude and grain density are extracted. These parameters are then used to control the granulation of arbitrary sound samples in real time. In this way, a direct link is made between the haptic sensation of interacting with grains and the control of granular sounds.

01 Jan 2014·Mathematical and Engineering Methods in Computer Science

Today’s Challenges for Embedded ASR

Author: Jozef Ivanecký ; Stephan Mehlhase

Automatic Speech Recognition (ASR) is pervading nowadays to areas unimaginable a few years ago. This progress was achieved mainly due to massive changes in the “Smart phones world” and ubiquitous availability of small, and powerful Linux-based hardware.

01 Jan 2012·Text, Speech and Dialogue

An In-Car Speech Recognition System for Disabled Drivers

Author: Jozef Ivanecký ; Stephan Mehlhase

Automatic Speech Recognition (ASR) is becoming a standard in nowadays cars. However, ASR in cars is usually restricted to activities not directly influencing the driving process. Thus, the voice-controlled functions can rather be classified as comfort functions, e.g. controlling the air condition, the navigation and entertainment system or even the mobile phone of the driver. Obviously this usage of an ASR system could be extended in two directions: On the one side, the speech recognition system could be used to control secondary functions in the car like lights, windscreen wipers or windows. On the other side, the comfort functions could be enriched by utilizing services like weather inquiries, SMS dictation or online traffic information. Compared to todays usage these extensions require a different approach than the one employed today. Controlling secondary functions in the car by voice demands the usage of a very reliable, real-time, local ASR. At the same time a large vocabulary ASR system is required for comfort functions like dictation of messages.

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